metadata

base_model:
  - beomi/Llama-3-Open-Ko-8B
  - ProbeMedicalYonseiMAILab/medllama3-v20
library_name: transformers
tags:
  - mergekit
  - merge
license: apache-2.0
datasets:
  - sean0042/KorMedMCQA

BioLlama-Ko-8B

This is a merge of pre-trained language models created using mergekit.

🏆 Evaluation

kormedmcqa(한국어 의학 벤치마크)

Model	Doctor	Nurse	Pharm	Avg
gpt-4-0613	75.09	85.86	83.22	81.39
iRASC/BioLlama-Ko-8B	45.26	63.37	58.47	55.70
gpt-3.5-turbo-0613	41.75	62.18	56.35	53.43
llama2-70b	42.46	63.54	53.26	53.09
SOLAR-10.7B-v1.0	37.19	55.54	54.07	48.93
ProbeMedicalYonseiMAILab/medllama3-v20	37.19	54.68	50.65	47.51
beomi/Llama-3-Open-Ko-8B	38.95	53.49	46.09	46.18

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using ProbeMedicalYonseiMAILab/medllama3-v20 as a base.

Models Merged

The following models were included in the merge:

beomi/Llama-3-Open-Ko-8B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ProbeMedicalYonseiMAILab/medllama3-v20
  - model: beomi/Llama-3-Open-Ko-8B
    parameters:
      density: 0.8
      weight: 0.45
merge_method: dare_ties
base_model: ProbeMedicalYonseiMAILab/medllama3-v20
parameters:
  int8_mask: true
dtype: bfloat16